Invention Grant
- Patent Title: Machine learning techniques for generating document summaries targeted to affective tone
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Application No.: US16270191Application Date: 2019-02-07
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Publication No.: US10891427B2Publication Date: 2021-01-12
- Inventor: Kushal Chawla , Balaji Vasan Srinivasan , Niyati Himanshu Chhaya
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F40/166 ; G06N20/00 ; G06F40/20 ; G06F16/34

Abstract:
An affective summarization system provides affective text summaries directed towards affective preferences of a user, such as psychological or linguistic preferences. The affective summarization system includes a summarization neural network and an affect predictor neural network. The affect predictor neural network is trained to provide a target affect level based on a word sequence, such as a word sequence for an article or other text document. The summarization neural network is trained to provide a summary sequence based on the target affect level and on the word sequence for the text document.
Public/Granted literature
- US20200257757A1 Machine Learning Techniques for Generating Document Summaries Targeted to Affective Tone Public/Granted day:2020-08-13
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